PSO-ANN For Economic Load Dispatch With Valve Point Loading Effects
نویسندگان
چکیده
This paper presents a new efficient approach to Economic Load Dispatch (ELD) problems with non-convex cost functions using PSO-ANN. The practical ELD problems have non-smooth cost functions considering valve point loading effects with equality and inequality constraints that make the problem of finding the global optimum difficult using any traditional mathematical approach. Therefore, Particle Swarm Optimization (PSO) technique is used for generating training data for the neural network. This paper proposes a PSO-ANN for the fast on-line implementation of the economic load dispatch problem. Test results of system with 3 generating units are given to illustrate the effectiveness of the proposed method. Keywords— Economic load Dispatch, Particle Swarm optimization, Artificial Neural Network, valve point loading effects.
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